Why is the generation of deep style images so slow and resource-hungry?
Real time style transfer and neural doodle is very much possible and is an active topic I see users working on to improve upon. The basic idea is to do only feed forward propagation at test time and train with appropriate loss functions at train time.

Perceptual Losses for Real-Time Style Transfer
and Super-Resolution is a good starting point to understand a methodology for this purpose.